'Even When Success Seems Impossible, I Keep Streaming': How Do Chinese Elderly Streamers Interact with Platform Algorithmic (In)visibility

Research Background and Issues

• Issues and Challenges:

  • The authors focus on the experiences of elderly streamers under algorithm-driven content visibility and content moderation, emphasizing how they perceive and respond to the "(in)visibility" issues caused by platform algorithms.
  • On platforms like Douyin, algorithms tend to promote youthful and attractive content, while content from elderly users often faces lower visibility due to algorithmic constraints.
  • Elderly individuals may also encounter greater challenges in adapting to constantly changing algorithmic rules due to technological and physical limitations.
  • Furthermore, the ambiguity of the rules ("black box") exacerbates the unpredictability of live streaming, increasing the psychological and physical burdens on elderly users.

• Significance:

  • In the content-driven digital era, live streaming is no longer just a form of entertainment but also a potential means of social connection and economic income. For elderly users, it can provide a sense of belonging and financial support.
  • Studying how elderly streamers cope with algorithmic challenges not only reveals this generation's potential for technological adaptation but also offers recommendations for improving platform design to ensure fairness and inclusivity.

• Research Motivation and Related Work:

  • Previous studies have primarily focused on how marginalized groups (e.g., sexual minorities or Black creators) respond to algorithmic biases on platforms, but there is limited analysis of elderly content creators.
  • This study aims to fill this gap by examining how algorithmic rules shape the live streaming experiences of elderly users and the coping strategies they adopt.

Solutions

• Methods/Solutions:

  • The authors employed a combination of observational research and semi-structured interviews, conducting in-depth interviews with 16 elderly Douyin streamers to understand their perceptions of platform algorithms and their coping strategies.
  • The research focuses on two main areas:
    1. How elderly streamers understand Douyin's algorithmic rules.
    2. The strategies they adopt to optimize their content and improve visibility.

• Innovations:

  • Through systematic observation and interviews, the authors challenge the stereotype of elderly users as "digital illiterates," revealing their proactive learning and innate ability to interpret algorithms.
  • The study innovatively categorizes elderly live streaming behavior as "algorithmic performance," where they adjust their behavior and content to align with platform algorithm preferences.

• Implementation Steps and Key Techniques:

  • Step 1: Select a sample group from the Douyin platform, observe live streaming sessions, and record content characteristics, interaction styles, and popularity metrics.
  • Step 2: Conduct semi-structured interviews to gather in-depth feedback on participants' motivations for live streaming, understanding of algorithmic mechanisms, and coping strategies.
  • Step 3: Perform multiple rounds of thematic analysis, summarizing interview feedback into core themes such as algorithmic understanding, strategies, and challenges.
  • In terms of technical tools, professional transcription services were used, and open coding methods were applied for result analysis.

Research Findings

• Specific Findings:

  • Elderly streamers gained an understanding of algorithmic rules through official tutorials, peer learning, and personal experimentation. They optimized their live streaming in terms of duration, interaction styles, and content.
  • The study identified three behaviors that align with algorithmic preferences:
    1. Long, uninterrupted live streaming sessions.
    2. Use of fixed and scripted live streaming language.
    3. Establishing mutual support networks, such as exchanging virtual gifts to boost visibility.
  • Despite their efforts, they often faced the following challenges:
    • Physical and psychological stress: Prolonged live streaming led to fatigue, especially for those with poorer physical health.
    • Low audience engagement: Most streamers had daily viewer counts in the single digits.
    • Account bans and traffic restrictions: Streamers frequently encountered traffic suppression or account bans due to violating the platform's "opaque" rules.

• Comparison with Existing Solutions:

  • This study highlights the practical impacts of algorithmic understanding and manipulation on elderly streamers, whereas existing research has mostly focused on the perspective of content consumers or the experiences of specific marginalized groups, rarely addressing elderly creators.
  • The research emphasizes the high sensitivity and proactive adaptation of elderly streamers to platform algorithms, significantly challenging the traditional assumption of them as "passive users."

• Experimental/Evaluation Results:

  • Case studies from the 16 interviewees demonstrated the elderly streamers' deep understanding of algorithmic rules, though they often faced setbacks due to technical skills or resource limitations.
  • Observations revealed that while streamers employed multiple strategies, their audience traffic growth remained unpredictable, entirely dependent on the success of algorithmic recommendations.

• Limitations and Future Directions:

  • Limitations:
    • The study only covered the Douyin platform, which may not be generalizable to other live streaming ecosystems.
    • The sample size was limited (16 participants), failing to encompass a broader range of elderly groups and regional variables.
  • Future Directions:
    • Explore how platform design can improve algorithmic transparency and enhance user-friendliness for elderly users.
    • Expand to cross-platform research, such as analyzing the rule impacts of platforms like Kuaishou and Taobao Live.
    • Further investigate live streaming behavior patterns among larger elderly populations, incorporating variables such as gender and regional differences for comparative analysis.

Summary and Design Recommendations

• Design Recommendations:

  1. Provide more intuitive real-time feedback tools to help elderly streamers immediately understand their live streaming performance.
  2. Introduce a personalized education system for elderly users, including violation warnings and content optimization suggestions.
  3. Improve recommendation algorithms to balance content quality with algorithm compliance, avoiding the proliferation of homogeneous "one-size-fits-all" content.
  4. Develop a diverse creative content recommendation system to inspire streamers with a broader range of creative references.

• Conclusion: This study reveals how algorithms shape and constrain the behavior of elderly creators in the live streaming content industry, while also highlighting their remarkable adaptability and creativity. The findings provide valuable guidance for designing a more inclusive and equitable platform ecosystem.